Software Engineer, ML Infrastructure

Company: Recruiting from Scratch
Location: San Francisco
Posted on: May 28, 2025

Job Description:

Who is :Recruiting from Scratch is a talent firm that focuses on placing the best candidate for our clients.Senior Machine Learning Infrastructure Engineer

• Location: Redwood City, CA
• Company Stage of Funding: Series A ($46M raised)
• Office Type: Hybrid (4 days in office)
• Salary: $180K - $250K (Higher for exceptional candidates) + Significant EquityCompany DescriptionWe are representing an exciting AI startup revolutionizing how deep learning models are trained. Our client builds cutting-edge tools that automatically select optimal data for training deep learning models, eliminating redundant, noisy, or harmful data points. Their modality-agnostic algorithms don't require labels, making them ideal for next-generation large deep learning models. Their technology enables customers across industries to train better models more cost-effectively.What You Will Do
  • Design, build, and maintain robust training infrastructure for in-house ML research and validation efforts
  • Develop core infrastructure for running curation pipelines delivered to customers
  • Partner closely with founders to influence product direction and drive business-critical technical decisions
  • Create scalable systems that impact the company's ability to deliver, scale, and deploy their product
  • Collaborate with researchers and other stakeholders to understand requirements and implement effective solutions
  • Help build a world-class engineering culture as an early senior team memberIdeal Candidate Background
    • 5-15 years of experience as a software engineer working with infrastructure for Machine Learning models
    • Senior, Staff, or Principal level engineering experience
    • Experience on compute teams at major tech companies (e.g., Google, Amazon, Meta) or AI startups training machine learning models
    • Track record of leading and building production ML infrastructure and platforms that deliver on major product initiatives
    • Proficiency in Python and common infrastructure tools: Linux, Kubernetes, Terraform/Pulumi, etc.
    • Strong knowledge of cloud-native systems, Kubernetes workloads, and distributed systems
    • Effective communication skills for collaborating with researchers and various stakeholders
    • Computer Science degreePreferred Qualifications
      • Experience with AWS and GCP cloud platforms
      • Background in scaling ML systems from prototype to production
      • Familiarity with ML research and latest developments in the field
      • Previous startup experience
      • Passion for advancing machine learning technologyCompensation and Benefits
        • Competitive salary range: $180K - $250K (higher for exceptional candidates)
        • Significant equity package
        • Comprehensive health benefits
        • Visa sponsorship available (TN, H1-B transfer, and O1)
        • Opportunity to work with cutting-edge ML technology
        • Chance to make significant impact at an early-stage, well-funded AI startup
        • Collaborative team of 22 talented professionals
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Keywords: Recruiting from Scratch, Santa Rosa , Software Engineer, ML Infrastructure, IT / Software / Systems , San Francisco, California